Book a demo of Snorkel Flow and learn how to accelerate your AI development >> 100x faster with the power of programmatic labeling. http://
snkl.ai/bookdemo We will be at #GartnerDA, be sure to stop by booth #1544 and register to win an Apple Vision Pro!
@snorkelai
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Snorkel Flow Accelerates AI Development with Programmatic Labeling
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Large Multimodal Datasets: Unsung Heroes Behind AI Breakthroughs
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The unsung hero behind many breakthroughs (including Stable Diffusion, and GPT-4) is large multimodal datasets. Last October, Assistant Professor Ludwig Schmidt from the University of Washington introduced DataComp, an approach to enhance data quality.
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Kristina Liapchin discusses Generative AI value enhancement
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Don't miss Kristina Liapchin's talk at #GartnerDA where she will share real use cases and discuss how to enhance the value of Generative AI with your own data. Book a live demo at booth #1544 http://
snkl.ai/bookdemo & enter to win an Apple Vision Pro. So much goodness! #GenAI -
Snorkel Flow Accelerates Machine Learning Model Development
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Vincent Chen, product manager at Snorkel AI, demonstrated how Snorkel Flow can drastically cut down the time it takes to build reliable and valuable machine learning models. Watch here: https://
youtube.com/watch?v=VjMjBP
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… #snorkelai #machinelearning #datascience #innovation #AI -
Gartner Data Analytics: AI Experts Demo at Booth #1544
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We're gearing up for #GartnerDA and we're bringing our team of AI experts to Orlando! Book a live demo http://
snkl.ai/bookdemo and enter to win an Apple Vision Pro! Booth #1544 #GenAI #generativeai -
Adapting Pre-trained Models for Task-Specific AI Optimization
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By adapting pre-trained representation models to a specific task or dataset, we can optimize them for our unique needs. This has created huge performance improvements for some of our customers. Our own Trung Nguyen sums up our approach. #AI #RAG
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Maximizing LLM Performance Without Additional Training
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Last year, Stanford researcher Simran Arora shared insights on an approach to maximize the performance of large language models without the need for additional training on the LLMs. Watch the full video here: https://
youtube.com/watch?v=NDNCAU
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Data-Centric AI: Shifting from Model to Data Focus
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More relevant than ever! Sharon Li delivered a fascinating talk at our first Future of Data-Centric AI event. She shared insights on the shift from a model-centric practice to a data-centric approach in building AI. Watch here: https://
youtube.com/watch?v=J-VymY
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Enterprise LLM Adoption Surges: 38% to 7% Zero-Production Gap
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38% of respondents said their organization had zero production applications backed by customized LLMs in 2023. 7% said they expected that to be the case by the end of 2024. That's a big leap! See more in our survey results. #genai #llm #enterpriseai
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Three Training Phases Required for LLM Performance
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Professor Stephen Bach offers an exceptionally clear description of the three training phases required to make LLMs perform. https://
snorkel.ai/large-language
-model-training-three-phases-shape-llm-training/
… #largelanguagemodels #llmtraining #genai